Discovery and Validation of Potential Serum Biomarkers for Heart Failure by Untargeted Metabolomics
Detection of biomarkers was extremely important for the early diagnosis, prognosis, and therapy optimization of diseases. The purpose of this study was to investigate the differences in serum metabolites between patients with heart failure (HF) and healthy control (HC) and to diagnose HF qualitative...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Cardiovascular Therapeutics |
| Online Access: | http://dx.doi.org/10.1155/2024/7004371 |
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| _version_ | 1841561458042732544 |
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| author | Guisheng Zhou Junzhi Zhang Hongli Guo Xiaochao Hu Yingzhuo Wang Kunqun Shi Tongtong Liu Shengyan Yin Huanhuan Liu Chunling Liu Shijia Liu |
| author_facet | Guisheng Zhou Junzhi Zhang Hongli Guo Xiaochao Hu Yingzhuo Wang Kunqun Shi Tongtong Liu Shengyan Yin Huanhuan Liu Chunling Liu Shijia Liu |
| author_sort | Guisheng Zhou |
| collection | DOAJ |
| description | Detection of biomarkers was extremely important for the early diagnosis, prognosis, and therapy optimization of diseases. The purpose of this study was to investigate the differences in serum metabolites between patients with heart failure (HF) and healthy control (HC) and to diagnose HF qualitatively. In this study, serum samples from 83 patients with HF and 35 HCs were used as the research subjects for untargeted metabolomic analysis using ultraperformance liquid chromatography combined with quadrupole-time of flight mass spectrometry (UPLC-QTOF/MS) technology. Potential biomarkers were screened and validated using the orthogonal partial least squares discriminant analysis (OPLS-DA), random forest (RF), binary logistic regression (BLR), and receiver operating characteristic (ROC) analysis. The results indicated that a total of 43 metabolites were considered as differentially expressed metabolites (DEMs). Among these DEMs, glycodeoxycholate was identified as a specific biomarker of HF. A ROC curve analysis for HC versus HF discrimination showed an area under the ROC curve (AUC) of 0.9853 (95% CI: 0.9859–1.0000), a sensitivity of 95%, and a specificity of 100%. Hence, glycodeoxycholate might serve as a potential biomarker for HF. Furthermore, the amino acid metabolism was screened as the most significantly altered pathway in patients with HF. By identifying serum biomarkers and analyzing metabolic pathways, our study provided opportunities to enhance the understanding of the pathogenesis and early diagnosis of HF. |
| format | Article |
| id | doaj-art-0129f61204984f4285323d3c675a9434 |
| institution | Kabale University |
| issn | 1755-5922 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cardiovascular Therapeutics |
| spelling | doaj-art-0129f61204984f4285323d3c675a94342025-01-03T01:34:45ZengWileyCardiovascular Therapeutics1755-59222024-01-01202410.1155/2024/7004371Discovery and Validation of Potential Serum Biomarkers for Heart Failure by Untargeted MetabolomicsGuisheng Zhou0Junzhi Zhang1Hongli Guo2Xiaochao Hu3Yingzhuo Wang4Kunqun Shi5Tongtong Liu6Shengyan Yin7Huanhuan Liu8Chunling Liu9Shijia Liu10Affiliated Hospital of Nanjing University of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese MedicinePharmaceutical Sciences Research CenterAffiliated Hospital of Nanjing University of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese MedicineCollege of the First Clinical MedicineAffiliated Hospital of Nanjing University of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese MedicineDetection of biomarkers was extremely important for the early diagnosis, prognosis, and therapy optimization of diseases. The purpose of this study was to investigate the differences in serum metabolites between patients with heart failure (HF) and healthy control (HC) and to diagnose HF qualitatively. In this study, serum samples from 83 patients with HF and 35 HCs were used as the research subjects for untargeted metabolomic analysis using ultraperformance liquid chromatography combined with quadrupole-time of flight mass spectrometry (UPLC-QTOF/MS) technology. Potential biomarkers were screened and validated using the orthogonal partial least squares discriminant analysis (OPLS-DA), random forest (RF), binary logistic regression (BLR), and receiver operating characteristic (ROC) analysis. The results indicated that a total of 43 metabolites were considered as differentially expressed metabolites (DEMs). Among these DEMs, glycodeoxycholate was identified as a specific biomarker of HF. A ROC curve analysis for HC versus HF discrimination showed an area under the ROC curve (AUC) of 0.9853 (95% CI: 0.9859–1.0000), a sensitivity of 95%, and a specificity of 100%. Hence, glycodeoxycholate might serve as a potential biomarker for HF. Furthermore, the amino acid metabolism was screened as the most significantly altered pathway in patients with HF. By identifying serum biomarkers and analyzing metabolic pathways, our study provided opportunities to enhance the understanding of the pathogenesis and early diagnosis of HF.http://dx.doi.org/10.1155/2024/7004371 |
| spellingShingle | Guisheng Zhou Junzhi Zhang Hongli Guo Xiaochao Hu Yingzhuo Wang Kunqun Shi Tongtong Liu Shengyan Yin Huanhuan Liu Chunling Liu Shijia Liu Discovery and Validation of Potential Serum Biomarkers for Heart Failure by Untargeted Metabolomics Cardiovascular Therapeutics |
| title | Discovery and Validation of Potential Serum Biomarkers for Heart Failure by Untargeted Metabolomics |
| title_full | Discovery and Validation of Potential Serum Biomarkers for Heart Failure by Untargeted Metabolomics |
| title_fullStr | Discovery and Validation of Potential Serum Biomarkers for Heart Failure by Untargeted Metabolomics |
| title_full_unstemmed | Discovery and Validation of Potential Serum Biomarkers for Heart Failure by Untargeted Metabolomics |
| title_short | Discovery and Validation of Potential Serum Biomarkers for Heart Failure by Untargeted Metabolomics |
| title_sort | discovery and validation of potential serum biomarkers for heart failure by untargeted metabolomics |
| url | http://dx.doi.org/10.1155/2024/7004371 |
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